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Procedural content generation in games

Author: Noor Shaker; Julian Togelius; Mark J Nelson
Publisher: Cham, Switzerland : Springer, 2016.
Series: Computational synthesis and creative systems
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Noor Shaker; Julian Togelius; Mark J Nelson
ISBN: 9783319427164 3319427164
OCLC Number: 961805582
Description: 1 online resource (xvi, 237 pages) : illustrations (some color).
Contents: Introduction --
The Search-Based Approach --
Constructive Generation Methods for Dungeons and Levels --
Fractals, Noise and Agents with Applications to Landscapes and Textures --
Grammars and L-Systems with Applications to Vegetation and Levels --
Rules and Mechanics --
Planning with Applications to Quests and Story --
ASP with Applications to Mazes and Levels --
Representations for Search-Based Methods --
The Experience-Driven Perspective --
Mixed-Initiative Approaches --
Evaluating Content Generators.
Series Title: Computational synthesis and creative systems
Responsibility: Noor Shaker, Julian Togelius, Mark J. Nelson.
More information:

Abstract:

This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation. The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence.

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